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遗传算法是一种可以混合整型、离散型和连续型变量一起使用的新兴优化算法,在单或多目标带约束优化设计领域有广阔的应用空间。本文在算例中采用与先验法相结合的遗传算法,以总体参数为设计变量,飞行性能和结构要求为约束条件,换算生产率为目标函数,并使用罚函数法处理成无约束的适应度函数,建立优化设计模型。对本文算例计算结果进行分析,可以使遗传算法更好地应用到直升机优化设计领域。
Genetic algorithm is an emerging optimization algorithm that can be used with mixed integer, discrete and continuous variables. It has a wide range of applications in the field of single or multi-objective constrained optimization design. In this paper, a genetic algorithm combined with priori method is used in this study. Taking the overall parameters as design variables, flight performance and structural requirements as constraints, the conversion rate is taken as the objective function and the penalty function method is used to deal with the fitness function with no constraint , The establishment of optimal design model. By analyzing the calculation results in this paper, the genetic algorithm can be better applied to the field of helicopter optimization design.